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stack-docker

This example Docker Compose configuration demonstrates many components of the Elastic Stack, all running on a single machine under Docker.

Prerequisites

  • Docker and Docker Compose.

    • Windows and Mac users get Compose installed automatically with Docker for Windows/Mac.

    • Linux users can read the install instructions or can install via pip:

pip install docker-compose

  • Windows Users must set the following 2 ENV vars:

    • COMPOSE_CONVERT_WINDOWS_PATHS=1
    • PWD=/path/to/checkout/for/stack-docker
      • for example I use the path: /c/Users/nick/elastic/stack-docker
      • Note: you're paths must be in the form of /c/path/to/place using C:\path\to\place will not work
    • You can set these two ways:
      1. Temporarily add an env var in powershell use: $Env:COMPOSE_CONVERT_WINDOWS_PATHS=1
      2. Permanently add an env var in powershell use: [Environment]::SetEnvironmentVariable("COMPOSE_CONVERT_WINDOWS_PATHS", "1", "Machine")

      Note: you will need to refresh or create a new powershell for this env var to take effect

      1. in System Properties add the environment variables.

  • At least 4GiB of RAM for the containers. Windows and Mac users must configure their Docker virtual machine to have more than the default 2 GiB of RAM:

Docker VM memory settings

  • Linux Users must set the following configuration as root:
sysctl -w vm.max_map_count=262144

By default, the amount of Virtual Memory is not enough.

Starting the stack

First we need to:

  1. set default password
  2. create keystores to store passwords
  3. install dashboards, index patterns, etc.. for beats and apm

This is accomplished using the setup.yml file:

docker-compose -f setup.yml up

Please take note after the setup completes it will output the password that is used for the elastic login.

Now we can launch the stack with docker-compose up -d to create a demonstration Elastic Stack with Elasticsearch, Kibana, Logstash, Auditbeat, Metricbeat, Filebeat, Packetbeat, and Heartbeat.

Point a browser at http://localhost:5601 to see the results.

NOTE: Elasticsearch is now setup with self-signed certs.

Log in with elastic and what ever your auto generated elastic password is from the setup.